Willingness to pay for an annual vaccine in an endemic COVID-19 scenario: a contingent valuation study in Metro Manila, Philippines
Rosalina Palanca-Tan ()
Additional contact information
Rosalina Palanca-Tan: Ateneo de Manila University
Swiss Journal of Economics and Statistics, 2023, vol. 159, issue 1, 1-12
Abstract:
Abstract Using the Contingent Valuation Method, this paper estimated willingness to pay (WTP) for annual COVID-19 booster vaccines for the endemic phase of the disease. The study found that, on the average, Metro Manila households would be WTP PhP2,199.71–2,410.50 (US$42.71–46.81) for a one-dose vaccine with 90% efficacy for one year. This WTP estimate is a measure of the perceived benefits from preventing COVID-19 infection, suggesting the potential for private markets to cater to those who prefer to obtain the annual booster COVID-19 vaccine privately, while a public vaccination program that subsidizes partially or fully the cost of the vaccine for those with lower capacity to pay is likely to pass a social cost–benefit assessment. Consistent with economic theory, WTP was found to significantly decrease with vaccine price and increase with income. Further, the study found general acceptance (measured in terms of the Health Benefit Model constructs) of COVID-19 vaccines among Metro Manila households despite the dengue vaccine controversy in the country immediately prior to the COVID-19 pandemic.
Keywords: Endemic COVID-19; Vaccine; Willingness to pay; Contingent valuation method; Health benefit model (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1186/s41937-023-00116-9 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sjecst:v:159:y:2023:i:1:d:10.1186_s41937-023-00116-9
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/41937
DOI: 10.1186/s41937-023-00116-9
Access Statistics for this article
Swiss Journal of Economics and Statistics is currently edited by Marius Brülhart
More articles in Swiss Journal of Economics and Statistics from Springer, Swiss Society of Economics and Statistics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().